Hasil Pencarian - Daniel Racoceanu

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  1. 1
    Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading

    Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading oleh Gabriel Jiménez, Daniel Racoceanu, Daniel Racoceanu

    Diterbitkan 2019-06-01
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  2. 2
    PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies

    PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies oleh Mehdi Ounissi, Morwena Latouche, Daniel Racoceanu

    Diterbitkan 2024-03-01
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  3. 3
    Deep Learning in the Biomedical Applications: Recent and Future Status

    Deep Learning in the Biomedical Applications: Recent and Future Status oleh Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu

    Diterbitkan 2019-04-01
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  4. 4
    Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach

    Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach oleh Humayun Irshad, Sepehr Jalali, Ludovic Roux, Daniel Racoceanu, Lim Joo Hwee, Gilles Le Naour, Frédérique Capron

    Diterbitkan 2013-01-01
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  5. 5
    Mitosis detection in breast cancer histological images An ICPR 2012 contest

    Mitosis detection in breast cancer histological images An ICPR 2012 contest oleh Ludovic Roux, Daniel Racoceanu, Nicolas Loménie, Maria Kulikova, Humayun Irshad, Jacques Klossa, Frédérique Capron, Catherine Genestie, Gilles Le Naour, Metin N Gurcan

    Diterbitkan 2013-01-01
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  6. 6
    Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Pathology (ESDIP)

    Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Patholo... oleh Filippo Fraggetta, Vincenzo L’Imperio, David Ameisen, Rita Carvalho, Sabine Leh, Tim-Rasmus Kiehl, Mircea Serbanescu, Daniel Racoceanu, Vincenzo Della Mea, Antonio Polonia, Norman Zerbe, Catarina Eloy

    Diterbitkan 2021-11-01
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